Senior Data Architect
6 days ago
Job Summary:
Compare the Market is seeking a highly skilled Senior Data Architect to lead the implementation of enterprise data solutions that support our organizational objectives. As a key member of our team, you will be responsible for overseeing the design and implementation of data architecture processes and controls, ensuring compliance with policies and standards.
Key Responsibilities:
- Data Architecture Oversight:
- Lead the design and implementation of enterprise data solutions that support organizational objectives.
- Enforce data architecture policies, standards, and procedures, addressing deviations through appropriate governance and controls.
- Update and refine data architecture standards to align with evolving regulatory requirements and business needs.
- Offer expertise on major projects, ensuring alignment with architectural standards.
- Develop and maintain documentation on data architectures and report on architecture performance and project outcomes.
- Work closely with business leaders, IT teams, and other stakeholders to define and deliver effective data solutions.
- Build, manage and mentor a team of data architects, promoting a culture of high performance and continuous improvement.
- Provide technical leadership and support to team members, fostering skills development and professional growth.
- Identify and assess risks associated with data architecture and propose mitigation strategies.
- Stay abreast of industry trends and advancements in data technology to drive innovation within the company.
- Evaluate and recommend new tools, technologies, and approaches for enhancing the data architecture and landscape.
- Participate in strategic planning sessions, contributing insights from a data architecture perspective.
Requirements:
- Conceptual to physical data modelling; hands-on expertise with relational and non-relational databases.
- Familiarity with data governance practices, regulatory, and data privacy law compliance such as GDPR or PECR.
- Proficiency in using cloud services (AWS, Google Cloud) for data storage, processing, and analytics solutions.
- Strong leadership skills to mentor and guide a team of data architects.
- Effective communication skills to articulate data architecture strategies to both technical and non-technical stakeholders.
- Familiarity with the implications of AI and machine learning in data architecture.
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